Paola Vitolo

Orcid: 0000-0001-6703-3999

According to our database1, Paola Vitolo authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Automatic Audio Feature Extraction for Keyword Spotting.
IEEE Signal Process. Lett., 2024

Ultra Tiny Neural Network for Accurate Pressure Sensors Under Multiple Thermal Stresses.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Dynamically Adaptive Accumulator for in-sensor ANN Hardware Accelerators.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT.
Proceedings of the International Conference on Neuromorphic Systems, 2024

In-Sensor Self-Calibration Circuit of MEMS Pressure Sensors for Accurate Localization.
Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

2023
A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Low-complexity Machine Learning Architecture for Hardware-aware True Random Number Generators Assessment and Continuous Monitoring.
Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Tiny compensation of pressure drift measurements due to long exposures to high temperatures.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Monitoring Hardware True Random Number Generators with Artificial Neural Networks: Problem Modeling and Training Dataset Generation.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing.
Proceedings of the 28th IEEE International Conference on Electronics, 2021


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